🚑️:roll back transformer.py and find that it's multiple chat hsitory have minor accurate error

ktransformers/server/backend/interfaces/transformers.py

@@ -172,13 +172,23 @@ class TransformersInterface(BackendInterfaceBase):
                 new_messages[-1]["content"] += m["content"]
             else:
                 new_messages.append(m)
-
+        # if (self.last_request_id is not None) and self.last_request_id == thread_id:
+        #     input_ids = self.tokenizer.encode(self.tokenizer.eos_token+self.tokenizer.apply_chat_template([new_messages[-1]], return_tensors="pt",tokenize=False, add_generation_prompt=True), add_special_tokens = False, return_tensors="pt").to(self.args.device)
+        # else:
+        #     input_ids = self.tokenizer.apply_chat_template(
+        #         new_messages, return_tensors="pt", add_generation_prompt=True
+        #     ).to(self.args.device)
+        input_ids = self.tokenizer.apply_chat_template(new_messages,return_tensors='pt',add_generation_prompt=True).to(self.args.device)
         if (self.last_request_id is not None) and self.last_request_id == thread_id:
-            input_ids = self.tokenizer.encode(self.tokenizer.eos_token+self.tokenizer.apply_chat_template([new_messages[-1]], return_tensors="pt",tokenize=False, add_generation_prompt=True), add_special_tokens = False, return_tensors="pt").to(self.args.device)
-        else:
-            input_ids = self.tokenizer.apply_chat_template(
-                new_messages, return_tensors="pt", add_generation_prompt=True
-            ).to(self.args.device)
+            x = self.generated_ids[:,:self.seq_length]
+            y = input_ids[:,:self.seq_length]
+            # We can only hope that the input_ids are the same
+            unequal_mask = torch.ne(x,y)
+            unequal_positions = torch.nonzero(unequal_mask)
+            num_unequal_elements = unequal_mask.sum().item()
+            logger.warning(f'num_unequal_elements: {num_unequal_elements}') 
+
+            input_ids = input_ids[:,self.seq_length:]
         logger.debug(f"get input ids of shape {input_ids.shape}")
         return input_ids